Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159234B726322B46843DB92EEF7383D56B2D15899E8CB4450F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aUhXe+EsZx8/G8x4RDawoMWBfwmMWBZ7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqc:aUhXe+EsZ/8iRDawoMWBfwmMWBZ7UXxp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3ff2c0c02f98c0 |
|
VISUAL
aHash
|
81810181ffffffff |
|
VISUAL
dHash
|
3f73737759370731 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07003400010 |
|
VISUAL
cropResistant
|
3f73737759370731,7f7f73f3edf3f7ef |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 18 techniques to evade detection by security scanners and make reverse engineering more difficult.